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The expected value of the number set will be the value of each x times the probability of each occurring. This expected value calculator helps you to quickly and easily calculate the expected value (or mean) of a discrete random variable X. The expected value of Xis given by the formula: E(X) = ∫ x f(x) dx. The expected value is also known as the expectation, mathematical expectation, mean, average, or first moment.

This $3,100 means that on average, for the future spins, $3,100 is the average that is usually found.

The formula changes slightly according to what kinds of events are happening. This value is also known as expectation, the average, the mean or the first moment.

Expected Return of Portfolio is calculated using the formula given below Expected Return = ∑ (pi * ri) Expected Return of Portfolio = (0.3 * 20%) + (0.5 * … So the expected value will be equal to ∑xp (x)= $10,000 (0.1) + $5,000 (0.1) + $2,000 (0.8)= $3,100.

Formula to Calculate Expected Value Expected value formula is used in order to calculate the average long-run value of the random variables available and according to the formula the probability of all the random values is multiplied by the respective probable random value and all the resultants are added together to derive the expected value.

Basic Expected Value Formula The basic expected value formula is the probability of an event multiplied by the amount of times the event happens: (P (x) * n). Applications of Expected Value

Expected value is also a key concept in economics, finance, and many other subjects. The Expected Value (EV) is the Predicted Value for using at any point in the future. Enter all known values of X and P (X) into the form below and click the "Calculate" button to calculate the expected value of X. Click on … Here we see that the expected value of our random variable is expressed as an integral. In probability theory, the expected value of a random variable $${\displaystyle X}$$, denoted $${\displaystyle E(X)}$$ or $${\displaystyle E[X]}$$, is a generalization of its weighted average, and is intuitively the arithmetic mean of a large number of independent realizations of $${\displaystyle X}$$. This value is calculated by multiplying possible results by the likelihood of every result will appear and then take gross of all these values. By finding the expected values, users can easily choose the scenarios to get their desired results. This is mainly used in statistics and probability analysis.

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